Best (simple) explanation I've found so far for Machine Learning systems (or what most mainstream media outlets label as "AI" or artificial intelligence) The important point about this is that in order to build a good system you need to have a bunch of questions (or data) to which you have a bunch of correct answers with which to train or "build" a set of rules with. This is the thing that most management types have no clue about, they usually think that you can simply pick a problem and set the computer off solving it, at which point I usually point out that if that were true the national lottery would be a bit boring. As usual in this life there's no such thing as a free lunch..
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